Programs
B. Tech. Robotics and Artificial Intelligence
B. Tech. Robotics and Artificial Intelligence
The B.Tech. in Robotics and Artificial Intelligence is an undergraduate programme offered in academic collaboration with the Incanto School of Robotics. The programme integrates the intellectual rigour of computer science with the full spectrum of contemporary artificial intelligence and intelligent robotics.
Students develop strong expertise in the computational foundations of intelligent systems, encompassing algorithms, data structures, machine learning, neural computation, computer vision, natural language processing, and autonomous decision-making. They further acquire advanced proficiency in deploying intelligent capabilities within physical systems through robotics, embedded computing, and intelligent automation technologies.
Eligibility
- Candidates must have passed 10+2 (or equivalent) from a recognised board.
- They should have studied Physics and Mathematics as compulsory subjects, along with Chemistry, Biotechnology, Biology, or a Technical-Vocational subject.
- Minimum Marks Requirement:
- General category: 45% aggregate in the above subjects.
- Reserved categories (SC/ST/OBC/PwD): 40% aggregate.
Program Highlights
Industry-Aligned Curriculum:
Developed in collaboration with Incanto School of Robotics and guided by emerging industry requirements.
Comprehensive AI Ecosystem:
Gain proficiency across Machine Learning, Deep Learning, Computer Vision, NLP, and Reinforcement Learning.
Robotics & Autonomous Systems:
Explore intelligent robotics, automation technologies, embedded systems, and cyber-physical applications.
Strong Computer Science Foundation
Master algorithms, software engineering, databases, operating systems, and computer networks.
Advanced Laboratory Infrastructure
Hands-on exposure to AI, Robotics, IoT, Embedded Systems, Computer Vision, and NLP laboratories.
Industry-Grade Robotics Platforms:
Learn using professional robotic systems and automation technologies employed across industries.
Experiential Learning Framework
Build real-world projects, intelligent applications, and autonomous systems from the early semesters.
Research & Innovation Orientation
Develop capabilities for advanced research, product innovation, and emerging deep-tech domains.
Internship & Capstone Experience
Work on industry-relevant projects through internships and final-year capstone engagements.
Future-Ready Skill Development
Acquire competencies aligned with next-generation careers in AI, Robotics, Automation, and Intelligent Systems.
Career Outcome
Artificial Intelligence Engineer
Design intelligent systems for learning, reasoning, and decision-making.
Machine Learning Engineer
Build and deploy machine learning models for predictive systems.
Computer Vision Engineer
Develop visual systems for recognition, tracking, and analysis.
NLP & LLM Engineer
Create language models and conversational AI applications.
Robotics Software Engineer
Develop software enabling autonomous robotic perception and action.
Deep Learning Engineer
Design neural networks for complex AI-driven applications.
Autonomous Systems Engineer
Engineer autonomous systems for vehicles, drones, and robotics.
Data Scientist
Analyze data to generate insights and predictive models.
MLOps Engineer
Build and manage scalable machine learning deployment pipelines.
Research Scientist
Conduct research in AI, robotics, and emerging technologies.
